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Linked patterns of biological and environmental covariation with brain structure in adolescence: a population-based longitudinal study

Adolescence is a period of major brain reorganization shaped by biologically timed and by environmental factors. We sought to discover linked patterns of covariation between brain structural development and a wide array of these factors by leveraging data from the IMAGEN study, a longitudinal popula...

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Autores principales: Modabbernia, Amirhossein, Reichenberg, Abraham, Ing, Alex, Moser, Dominik A., Doucet, Gaelle E., Artiges, Eric, Banaschewski, Tobias, Barker, Gareth J., Becker, Andreas, Bokde, Arun L. W., Quinlan, Erin Burke, Desrivières, Sylvane, Flor, Herta, Fröhner, Juliane H., Garavan, Hugh, Gowland, Penny, Grigis, Antoine, Grimmer, Yvonne, Heinz, Andreas, Insensee, Corinna, Ittermann, Bernd, Martinot, Jean-Luc, Martinot, Marie-Laure Paillère, Millenet, Sabina, Nees, Frauke, Orfanos, Dimitri Papadopoulos, Paus, Tomáš, Penttilä, Jani, Poustka, Luise, Smolka, Michael N., Stringaris, Argyris, van Noort, Betteke M., Walter, Henrik, Whelan, Robert, Schumann, Gunter, Frangou, Sophia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7981783/
https://www.ncbi.nlm.nih.gov/pubmed/32444868
http://dx.doi.org/10.1038/s41380-020-0757-x
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author Modabbernia, Amirhossein
Reichenberg, Abraham
Ing, Alex
Moser, Dominik A.
Doucet, Gaelle E.
Artiges, Eric
Banaschewski, Tobias
Barker, Gareth J.
Becker, Andreas
Bokde, Arun L. W.
Quinlan, Erin Burke
Desrivières, Sylvane
Flor, Herta
Fröhner, Juliane H.
Garavan, Hugh
Gowland, Penny
Grigis, Antoine
Grimmer, Yvonne
Heinz, Andreas
Insensee, Corinna
Ittermann, Bernd
Martinot, Jean-Luc
Martinot, Marie-Laure Paillère
Millenet, Sabina
Nees, Frauke
Orfanos, Dimitri Papadopoulos
Paus, Tomáš
Penttilä, Jani
Poustka, Luise
Smolka, Michael N.
Stringaris, Argyris
van Noort, Betteke M.
Walter, Henrik
Whelan, Robert
Schumann, Gunter
Frangou, Sophia
author_facet Modabbernia, Amirhossein
Reichenberg, Abraham
Ing, Alex
Moser, Dominik A.
Doucet, Gaelle E.
Artiges, Eric
Banaschewski, Tobias
Barker, Gareth J.
Becker, Andreas
Bokde, Arun L. W.
Quinlan, Erin Burke
Desrivières, Sylvane
Flor, Herta
Fröhner, Juliane H.
Garavan, Hugh
Gowland, Penny
Grigis, Antoine
Grimmer, Yvonne
Heinz, Andreas
Insensee, Corinna
Ittermann, Bernd
Martinot, Jean-Luc
Martinot, Marie-Laure Paillère
Millenet, Sabina
Nees, Frauke
Orfanos, Dimitri Papadopoulos
Paus, Tomáš
Penttilä, Jani
Poustka, Luise
Smolka, Michael N.
Stringaris, Argyris
van Noort, Betteke M.
Walter, Henrik
Whelan, Robert
Schumann, Gunter
Frangou, Sophia
author_sort Modabbernia, Amirhossein
collection PubMed
description Adolescence is a period of major brain reorganization shaped by biologically timed and by environmental factors. We sought to discover linked patterns of covariation between brain structural development and a wide array of these factors by leveraging data from the IMAGEN study, a longitudinal population-based cohort of adolescents. Brain structural measures and a comprehensive array of non-imaging features (relating to demographic, anthropometric, and psychosocial characteristics) were available on 1476 IMAGEN participants aged 14 years and from a subsample reassessed at age 19 years (n = 714). We applied sparse canonical correlation analyses (sCCA) to the cross-sectional and longitudinal data to extract modes with maximum covariation between neuroimaging and non-imaging measures. Separate sCCAs for cortical thickness, cortical surface area and subcortical volumes confirmed that each imaging phenotype was correlated with non-imaging features (sCCA r range: 0.30–0.65, all P(FDR) < 0.001). Total intracranial volume and global measures of cortical thickness and surface area had the highest canonical cross-loadings (|ρ| = 0.31−0.61). Age, physical growth and sex had the highest association with adolescent brain structure (|ρ| = 0.24−0.62); at baseline, further significant positive associations were noted for cognitive measures while negative associations were observed at both time points for prenatal parental smoking, life events, and negative affect and substance use in youth (|ρ| = 0.10−0.23). Sex, physical growth and age are the dominant influences on adolescent brain development. We highlight the persistent negative influences of prenatal parental smoking and youth substance use as they are modifiable and of relevance for public health initiatives.
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spelling pubmed-79817832021-11-17 Linked patterns of biological and environmental covariation with brain structure in adolescence: a population-based longitudinal study Modabbernia, Amirhossein Reichenberg, Abraham Ing, Alex Moser, Dominik A. Doucet, Gaelle E. Artiges, Eric Banaschewski, Tobias Barker, Gareth J. Becker, Andreas Bokde, Arun L. W. Quinlan, Erin Burke Desrivières, Sylvane Flor, Herta Fröhner, Juliane H. Garavan, Hugh Gowland, Penny Grigis, Antoine Grimmer, Yvonne Heinz, Andreas Insensee, Corinna Ittermann, Bernd Martinot, Jean-Luc Martinot, Marie-Laure Paillère Millenet, Sabina Nees, Frauke Orfanos, Dimitri Papadopoulos Paus, Tomáš Penttilä, Jani Poustka, Luise Smolka, Michael N. Stringaris, Argyris van Noort, Betteke M. Walter, Henrik Whelan, Robert Schumann, Gunter Frangou, Sophia Mol Psychiatry Article Adolescence is a period of major brain reorganization shaped by biologically timed and by environmental factors. We sought to discover linked patterns of covariation between brain structural development and a wide array of these factors by leveraging data from the IMAGEN study, a longitudinal population-based cohort of adolescents. Brain structural measures and a comprehensive array of non-imaging features (relating to demographic, anthropometric, and psychosocial characteristics) were available on 1476 IMAGEN participants aged 14 years and from a subsample reassessed at age 19 years (n = 714). We applied sparse canonical correlation analyses (sCCA) to the cross-sectional and longitudinal data to extract modes with maximum covariation between neuroimaging and non-imaging measures. Separate sCCAs for cortical thickness, cortical surface area and subcortical volumes confirmed that each imaging phenotype was correlated with non-imaging features (sCCA r range: 0.30–0.65, all P(FDR) < 0.001). Total intracranial volume and global measures of cortical thickness and surface area had the highest canonical cross-loadings (|ρ| = 0.31−0.61). Age, physical growth and sex had the highest association with adolescent brain structure (|ρ| = 0.24−0.62); at baseline, further significant positive associations were noted for cognitive measures while negative associations were observed at both time points for prenatal parental smoking, life events, and negative affect and substance use in youth (|ρ| = 0.10−0.23). Sex, physical growth and age are the dominant influences on adolescent brain development. We highlight the persistent negative influences of prenatal parental smoking and youth substance use as they are modifiable and of relevance for public health initiatives. Nature Publishing Group UK 2020-05-22 2021 /pmc/articles/PMC7981783/ /pubmed/32444868 http://dx.doi.org/10.1038/s41380-020-0757-x Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Modabbernia, Amirhossein
Reichenberg, Abraham
Ing, Alex
Moser, Dominik A.
Doucet, Gaelle E.
Artiges, Eric
Banaschewski, Tobias
Barker, Gareth J.
Becker, Andreas
Bokde, Arun L. W.
Quinlan, Erin Burke
Desrivières, Sylvane
Flor, Herta
Fröhner, Juliane H.
Garavan, Hugh
Gowland, Penny
Grigis, Antoine
Grimmer, Yvonne
Heinz, Andreas
Insensee, Corinna
Ittermann, Bernd
Martinot, Jean-Luc
Martinot, Marie-Laure Paillère
Millenet, Sabina
Nees, Frauke
Orfanos, Dimitri Papadopoulos
Paus, Tomáš
Penttilä, Jani
Poustka, Luise
Smolka, Michael N.
Stringaris, Argyris
van Noort, Betteke M.
Walter, Henrik
Whelan, Robert
Schumann, Gunter
Frangou, Sophia
Linked patterns of biological and environmental covariation with brain structure in adolescence: a population-based longitudinal study
title Linked patterns of biological and environmental covariation with brain structure in adolescence: a population-based longitudinal study
title_full Linked patterns of biological and environmental covariation with brain structure in adolescence: a population-based longitudinal study
title_fullStr Linked patterns of biological and environmental covariation with brain structure in adolescence: a population-based longitudinal study
title_full_unstemmed Linked patterns of biological and environmental covariation with brain structure in adolescence: a population-based longitudinal study
title_short Linked patterns of biological and environmental covariation with brain structure in adolescence: a population-based longitudinal study
title_sort linked patterns of biological and environmental covariation with brain structure in adolescence: a population-based longitudinal study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7981783/
https://www.ncbi.nlm.nih.gov/pubmed/32444868
http://dx.doi.org/10.1038/s41380-020-0757-x
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